Triple

T8198124
Position Surface form Disambiguated ID Type / Status
Subject Alexinsky Uyezd E191485 entity
Predicate administrativeCenter P1474 FINISHED
Object Alexin E476560 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Alexin | Statement: [Alexinsky Uyezd, administrativeCenter, Alexin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexin
Context triple: [Alexinsky Uyezd, administrativeCenter, Alexin]
  • A. Xandre
    Xandre is a shortened, informal given name derived from Alexandre, commonly used as a nickname or variant.
  • B. Aleksin chosen
    Aleksin is a historic town and industrial center located on the Oka River in Tula Oblast, Russia.
  • C. Azarethes
    Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
  • D. Aletes
    Aletes is a figure from Greek mythology, traditionally regarded as a descendant of Heracles and associated with the royal lineage that ruled parts of the Peloponnese.
  • E. Leonidio
    Leonidio is a traditional coastal town in the eastern Peloponnese of Greece, known for its dramatic red cliffs, Tsakonian cultural heritage, and popular rock-climbing routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5c2341f881908be59c378896e5bc completed March 31, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedbc9840819089255e93d8119350 completed April 1, 2026, 10:04 a.m.
Created at: March 30, 2026, 5:42 p.m.